Shadow banking:a bibliometric and content analysis

This study reports on our systematic review of 2008–2021 literature on shadow banking.We present an overview of the shadow banking sector,wherein we discuss the definitions,evolution,functions,and specific activities that comprise it.We conducted a bibliometric analysis using the VOSviewer bibliometric tool on articles collected from the Scopus database,after which we conducted content analysis on top articles from leading sources,and identified four major streams of shadow banking literature.Additionally,we identified gaps in the literature and proposed seven research questions to be addressed in future studies to advance knowledge of the shadow banking sector.The findings of this review may serve as a robust reference for scholars researching various aspects of shadow banking to develop our understanding of this sector.

The Outcome of Midwife-Mother Relationship in Delivery Room: A Qualitative Content Analysis

Effective communication and emotional support of parturient women improve the outcome of childbirth. Reduction in Duration of labor, cesarean rate, use of anesthesia, and 5 minute Apgar Score less than 7 can achieve. This study was a part of a large mixed method study during 2013-2014. In this qualitative study, in-depth interviews were conducted with 32 participants (16 mother and 16 midwife), using semi-structured interviews. Participants were recruited by pur-posive sampling with maximum diversity in terms of age, occupation, education and etc. Educational hospital of Arak University of Medical Sciences was considered as the setting. Each interview was conducted at a private and convenient location and took about 30 to 45 minutes. Interviews were audio taped and transcribed verbatim. Conventional content analysis was done for data analysis. Interviews continued until data saturation was obtained. Data were coded in MAXQDA software (version 11). The main category emerged as “outcome” of midwife-mother relationship. Facilitating childbirth, positive experience, mental health promotion and improvement in quality of life were derived as subcategories. Good midwife-mother relationship could promote positive outcome in labour. Results could assist midwives in providing holistic quality care to mothers during labour, thus providing positive consequence in child birth. Also, results could provide a framework and guidance for policymakers to create appropriate context for the midwife-mother relationship in maternity care.

Charitable Donation Motives of Wealthy Chinese—A Content Analysis Based on 66 Chinese Philanthropists

Based on Chinese cultural psychology and multi-disciplinary theoretical system,this study establishes an analytical framework of wealthy people’s charitable donation motives.It takes the donation behavior of 66 philanthropists as the research object to discuss charitable donation motives of wealthy people.Through analyzing the content and text of 172 interviews and donation reports,this study verifies the unique influence of acquaintances’charitable motives in Chinese local culture,moral motives in Confucian culture,benevolent people’s love for others,self-promotion,collectivism and patriotism,and differential love on charitable donations of rich Chinese.This study concluded that the donation motives of wealthy Chinese mainly consist of 10 categories,such as expressing appreciation and gratitude,becoming a super representative of philanthropy cause,pursuit of the meaning and value of life,promoting social justice,inheriting the family wealth and family spirit,taking the social responsibility of Chinese entrepreneurs,driving more people to participate in philanthropy cause,improving the welfare of others,acquiring the exchange interests,and due to peer pressure.This research enriches the connotation of“Chinese philanthropy motivation”and discusses the characteristics of philanthropy motives in Chinese context,which can provide reference for improving the donation incentive policies and charitable organization’s fundraising activities.

Sentiment Analysis in Social Media for Competitive Environment Using Content Analysis

Education sector has witnessed several changes in the recent past.These changes have forced private universities into fierce competition with each other to get more students enrolled.This competition has resulted in the adoption of marketing practices by private universities similar to commercial brands.To get competitive gain,universities must observe and examine the students’feedback on their own social media sites along with the social media sites of their competitors.This study presents a novel framework which integrates numerous analytical approaches including statistical analysis,sentiment analysis,and text mining to accomplish a competitive analysis of social media sites of the universities.These techniques enable local universities to utilize social media for the identification of the most-discussed topics by students as well as based on the most unfavorable comments received,major areas for improvement.A comprehensive case study was conducted utilizing the proposed framework for competitive analysis of few top ranked international universities as well as local private universities in Lahore Pakistan.Experimental results show that diversity of shared content,frequency of posts,and schedule of updates,are the key areas for improvement for the local universities.Based on the competitive intelligence gained several recommendations are included in this paper that would enable local universities generally and Riphah international university(RIU)Lahore specifically to promote their brand and increase their attractiveness for potential students using social media and launch successful marketing campaigns targeting a large number of audiences at significantly reduced cost resulting in an increased number of enrolments.

Midwives’views and experiences of providing healthy eating advice to pregnant women:a qualitative content analysis of semi-structured interviews

Objective:To explore midwives’views on how they provide healthy eating education to pregnant women after attending a healthy eating education workshop/webinar.Methods:A qualitative descriptive approach was utilized.Semi-structured interviews were conducted to explore the views and experiences of midwives on providing healthy eating education for pregnant women.A purposive sample of six midwives was interviewed face-to-face,and one was conducted by telephone interview.Data were analyzed through qualitative conventional content analysis.Results:Midwives described their views and experiences of factors that impacted their role in providing healthy eating educa-tion.They identified three categories:perceived role of midwi ves,health literacy,and model of care.Conclusions:Knowledge and confidence of midwives improved after attending the workshop/webinar on healthy eating education.Findings suggested that midwives perceived their role as important in providing nutrition education.However,time and resources were highlighted as challenges when providing healthy eating education for pregnant women.The availability of health literacy and model of care were significant factors in enabling midwives to adequately provide this education.Midwives acknowledged a need for further education in areas of vegan diet,cultural food preferences for ethnic minority groups,and regular updates on national healthy eating guidelines.

Centrum Multivitamin Content Analysis—Over the Counter—OTC Medicine on Facebook

Medicines advertising can be discussed from several perspectives. The study can be directed to its informational content, current legislation, characteristic (persuasive, informative) and the use of euphemisms. In this paper, the authors indicated the values present in the advertising content of the Centrum brand, classified by the World Health Organization (WHO) as Over the Counter—OTC Medicine, based on the content analysis [1] of whose evaluations will be based on advertising objects published on Facebook.

Impacts of sample size for stomach content analysis on the estimation of ecosystem indices

This study used Ecopath model of the Jiaozhou Bay as an example to evaluate the effect of stomach sample size of three fish species on the projection of this model. The derived ecosystem indices were classified into three categories:(1) direct indices, like the trophic level of species, influenced by stomach sample size directly;(2)indirect indices, like ecology efficiency(EE) of invertebrates, influenced by the multiple prey-predator relationships;and(3) systemic indices, like total system throughout(TST), describing the status of the whole ecosystem. The influences of different stomach sample sizes on these indices were evaluated. The results suggest that systemic indices of the ecosystem model were robust to stomach sample sizes, whereas specific indices related to species were indicated to be with low accuracy and precision when stomach samples were insufficient.The indices became more uncertain when the stomach sample sizes varied for more species. This study enhances the understanding of how the quality of diet composition data influences ecosystem modeling outputs. The results can also guide the design of stomach content analysis for developing ecosystem models.

Talking with Children about Cancer: A Content Analysis of Text in Children’s Picture Books

Introduction: To tell children that they are diagnosed with cancer is challenging for any healthcare professional and family. Pictures books are one of the communication tools for talking with children about severe diseases. However, little research is available about the contents of picture books about cancer for children. Therefore, this study aimed to examine the contents of children’s picture books about cancer and explore the advantages and disadvantages of using picture books to communicate with children about cancer. Methods: We searched the picture books about cancer written for children aged under ten years old on the Amazon.com Web site on 5 July 2019 and hand-searched on the cancer-related institutes’ Web site. We extracted the texts of relevant picture books and conducted a content analysis of them. Results: We identified 2555 picture books and included 30 of them. We identified three main contents, 1) cancer-related knowledge, 2) impacts of cancer, and 3) dealing with cancer. These contents were written with simple words and illustrations. Some of them included the essential contents, which might be misunderstood by children. Conclusions: Picture books might be helpful for children to understand about cancer. However, as these books do not include all contents, it is necessary to select and use multiple books depending on the content which is wanted to tell the child. Further research should evaluate the impacts of these books as a communication tool when talking with children diagnosed with cancer.

Design and science:Content analysis of published peer-reviewed research over the last four decades

The relationship between design and science in architecture continually receives attention from scholars,but to our knowledge,no substantial and systematic literature reviews have been undertaken to generate insights into how the relationship between the two has developed in recent times.As most of the related debate remains theoretical,this paper presents evidence acquired through content analysis of selected 782 peer-reviewed papers published in the last four decades,a period in which design requirements continue to grow in complexity and research efforts increasingly concentrate on design methods.In response,this study departs from the two keywords,architectural science and building science,and develops search strings to support examination of the relationship between science and architectural design since the 1980s,when research that addresses the building environment started to intensify.The analysis employs tools based on machine learning algorithms for text analytics in combination with traditional content analysis methods.The presented research method is fully replicable and stands as one of the contributions of this study.The findings capture the expansion of the research context concerned with the built environment through a careful selection of defining terms,and generate an informed discussion on how the role of science in the architectural design process has changed.

Combined apatite fission-track dating, chlorine and REE content analysis by LA-ICPMS

As one of the best established low temperature thermochronology techniques,apatite fission-track(AFT)analysis has proved an important tool for constraining a wide variety of upper crustal processes,e.g.,landscape evolution,hydrocarbon exploration and tectonics[1].The most common method employed for AFT analysis is the external detector method(EDM)[1]and this involves the thermal neutron irradiation of samples for determination of

Sustainability in Higher Education Institutions(HEI):Merging the Study Systematic Review,Analysis Content and Bibliometrics

This study aims to explore how the topic of sustainability in Higher Education Institutions(HEI)has been addressed in the scientific literature.It presents a systematic literature review of peer-reviewed journal articles published between 1975 and 2019.After that,bibliometric and content analyses were performed in order to identify the behavior and evolution of the literature and identify the frequency with which they appear in the text,making it possible to raise replicable and valid inferences to the data.The results of this study indicate that the theme is emerging since the year 2010 and with a strong focus on qualitative studies,focused on critical theory.The results indicate that although studies involve the tripod environment,economy,and society,there is still a gap in studies that deal with specific issues to solve practical problems and that analyze the impacts from a more holistic perspective.The combination of methods made it possible to identify and interpret the articles in the selected sample,but based on results reported by other authors,with little room for quality control and integrity.

An Analysis of Cultural Contents in Middle School English Textbooks GO FOR IT

The Chinese EFL textbook GO FOR IT is widely used in most state-owned middle schools of China.According to the national English Curriculum of in China,cultural contents should be provided.The cultural contents are analyzed from two aspects—cultural awareness through verbal communication and the cultural awareness through non-verbal communication.Specifically,appellations and greetings,polite expressions,the dining patterns,cultural imageries of animals are analyzed in this thesis.

A Micro Perspective of Research Dynamics Through“Citations of Citations”Topic Analysis

Purpose:Research dynamics have long been a research interest.It is a macro perspective tool for discovering temporal research trends of a certain discipline or subject.A micro perspective of research dynamics,however,concerning a single researcher or a highly cited paper in terms of their citations and“citations of citations”(forward chaining)remains unexplored.Design/methodology/approach:In this paper,we use a cross-collection topic model to reveal the research dynamics of topic disappearance topic inheritance,and topic innovation in each generation of forward chaining.Findings:For highly cited work,scientific influence exists in indirect citations.Topic modeling can reveal how long this influence exists in forward chaining,as well as its influence.Research limitations:This paper measures scientific influence and indirect scientific influence only if the relevant words or phrases are borrowed or used in direct or indirect citations.Paraphrasing or semantically similar concept may be neglected in this research.Practical implications:This paper demonstrates that a scientific influence exists in indirect citations through its analysis of forward chaining.This can serve as an inspiration on how to adequately evaluate research influence.Originality:The main contributions of this paper are the following three aspects.First,besides research dynamics of topic inheritance and topic innovation,we model topic disappearance by using a cross-collection topic model.Second,we explore the length and character of the research impact through“citations of citations”content analysis.Finally,we analyze the research dynamics of artificial intelligence researcher Geoffrey Hinton’s publications and the topic dynamics of forward chaining.

Online Content Impact on Young people’s Values Transformation

The investigation that underpins the present article interprets the gaps of the social data continuum.It is designed to select a set of images from the“media noise”of the information society,and then describe those that characterize the visual conceptualization of the ideas.The authors present the results of their 14-year research based on the original research methodology,and carried out in several stages(2006,2012,2017).The study is called“Fictional creatures of the mass media era.Russia,21 century”.In 2017,it is assumed that the overall youth international value agenda,an essential feature of which is the further reduction of the impact of advertising and brand communications,has been formed.Specific data are given in the article.

#Occupywallstreet: An Analysis of Twitter Usage during a Protest Movement

In 2011, the Occupy Wall Street movement made history as one of the largest grassroots protest events in the United States. Members made frequent use of social media tools, like Twitter, to share information and mobilize participants. This study uses content analysis to examine the way that Twitter is used to incite, organize, and perpetuate protest movements. 1500 tweets in total were coded for content and linguistic features to provide insight into how Twitter is used to achieve different goals surrounding protest movements, the tonality of the tweets, and the purpose of distributed messages. Our findings indicate that Twitter is a tool primarily used for sharing objective, logistical information, along with opinions, to create a unified community and mobilize individuals to participate in a physical space of protest.

Fuzzy VIKOR Approach to Evaluate the Information Security Policies and Analyze the Content of Press Agencies in Gulf Countries

A news agency is an organization that gathers news reports and sells them to subscribing news organization, such as newspapers, magazines, radio and television broadcasters. A news agency may also be referred to as a wire service, newswire, or news service. The main purpose of this paper is to evaluate the security policies and analyze the content of five press agencies in gulf countries which are (Kuwait News Agency (KUNA), Emirates News Agency (WAM), Saudi Press Agency (SPA), Bahrain News Agency (BNA), and Oman News Agency (OMA)) by using a fuzzy VIKOR approach where linguistic variables are applied to solve the uncertainties and subjectivities in expert decision making. Fuzzy VIKOR approach is one of the best Multi-Criteria Decision Making (MCDM) techniques working in fuzzy environment. This study benefits security and content analysis experts know which press agency has the mandate and the competence to educate the public on news agencies. Besides, this paper contributes to Gulf agencies in helping them in their resolve to ensure the quality of content information and information security policies over the internet.

Hash-Indexing Block-Based Deduplication Algorithm for Reducing Storage in the Cloud

Cloud storage is essential for managing user data to store and retrieve from the distributed data centre.The storage service is distributed as pay a service for accessing the size to collect the data.Due to the massive amount of data stored in the data centre containing similar information and file structures remaining in multi-copy,duplication leads to increase storage space.The potential deduplication system doesn’t make efficient data reduction because of inaccuracy in finding similar data analysis.It creates a complex nature to increase the storage consumption under cost.To resolve this problem,this paper proposes an efficient storage reduction called Hash-Indexing Block-based Deduplication(HIBD)based on Segmented Bind Linkage(SBL)Methods for reducing storage in a cloud environment.Initially,preprocessing is done using the sparse augmentation technique.Further,the preprocessed files are segmented into blocks to make Hash-Index.The block of the contents is compared with other files through Semantic Content Source Deduplication(SCSD),which identifies the similar content presence between the file.Based on the content presence count,the Distance Vector Weightage Correlation(DVWC)estimates the document similarity weight,and related files are grouped into a cluster.Finally,the segmented bind linkage compares the document to find duplicate content in the cluster using similarity weight based on the coefficient match case.This implementation helps identify the data redundancy efficiently and reduces the service cost in distributed cloud storage.